Arquitecto de Software: Media Engineering Lead
### Responsibilities
* Lead the architecture and evolution of global video and media workflows.
* Design and develop backend services and integrations for Mimir, CHP, WordPress, Rightsline, and related media platforms.
* Build workflows for video ingestion, transcoding, archiving, metadata management, publishing, search, and retrieval.
* Develop APIs and services supporting high-volume media and publishing platforms.
* Integrate AI-based video analysis, metadata generation, tagging, quality checks, and semantic search capabilities.
* Collaborate with architecture, product, editorial, data, and platform teams.
* Improve the reliability, scalability, and performance of existing systems.
* Define engineering standards, participate in code reviews, and support incident response for critical production issues.
### Must Have
* 8+ years of hands-on software engineering experience.
* Strong backend development skills in Java, Python, Go, or a similar language.
* Experience integrating or extending DAM or MAM platforms in production environments.
* Experience with large-scale video production, publishing, archiving, and distribution workflows.
* Experience integrating rights-management or licensing platforms.
* Strong knowledge of APIs, SQL and NoSQL databases, message queues, and distributed systems.
* Experience building and operating cloud-based services in AWS, GCP, or Azure.
* Experience applying AI or ML capabilities to video or media workflows.
* Experience using AI coding assistants such as GitHub Copilot, Claude Code, Cursor, or similar tools.
* Experience in news, publishing, broadcast, or video-streaming environments.
* Ability to lead cross-functional technical initiatives and provide expert production support.
### Nice to Have
* Direct experience with Mimir, CHP, WordPress, or Rightsline.
* Experience with Suite, LucidLink, Mosaic, or similar media-production tools.
* Familiarity with video formats, codecs, retention policies, and cloud-storage strategies.
* Experience with computer vision, ML-model integration, or automated content evaluation.
* Knowledge of video taxonomies, metadata standards, semantic search, and content discovery.
* Understanding of the strengths, limitations, and pricing models of major LLM providers.
* Experience with CI/CD, infrastructure-as-code, and DevOps practices.
100% Remoto. LATAM / pago en USD - contractor.
